[Simplex3]

Originally Posted by crazycoffey

In many ways I'm not as smart as you, like in this particular case I need more information to keep up....

In mathematics, a Markov chain, named after Andrey Markov, is a discrete-time stochastic process with the Markov property.

A Markov chain is a series of states of a system that has the Markov property. At each time the system may have changed from the state it was in the moment before, or it may have stayed in the same state. The changes of state are called transitions.

A series with the Markov property is a sequence of states for which the conditional probability distribution of a state in the future can be deduced using only the current state; no additional information is given by the states the process was in, in the past. In other words, the past states carry no information about future states.

http://en.wikipedia.org/wiki/Markov_chain